Algorithms for subpixel registration
Computer Vision, Graphics, and Image Processing
Single Lens Stereo with a Plenoptic Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Shape from Defocus via Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
How Accurate Can Block Matches Be in Stereo Vision?
SIAM Journal on Imaging Sciences
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In the framework of the 3-SIS project, we are designing a three-channel miniature camera using an integrated block-based processor and on-chip parallel (SIMD) image processing. This paper describes a single-lens stereo algorithm that we are planning to implement on the narrow-angle channel of the camera. Using microlenses on the sensor delivers a chessboard-like interlaced stereo pair exploiting opposite areas of the lens pupil. As the stereo base is limited by the lens aperture, disparities have very low values; choosing adequate focusing (depending on the scene) and prism deflection angles will give disparities between -1 and 1, which can be measured using local processing only involving directly neighbouring pixels, which is well adapted to the parallel image processing primitives. Subpixel correlation allows real-time, low precision but quasi-dense range information, which may be exploited as an extra clue into the image segmentation process.